Triple
T17548535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garhwal Himalaya |
E427391
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object | Bandarpunch |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bandarpunch | Statement: [Garhwal Himalaya, hasPeak, Bandarpunch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bandarpunch Context triple: [Garhwal Himalaya, hasPeak, Bandarpunch]
-
A.
Bandarpunch
chosen
Bandarpunch is a prominent Himalayan mountain massif in the Garhwal region of Uttarakhand, India, known for its snow-clad peaks and challenging trekking and mountaineering routes.
-
B.
Labpur
Labpur is a town and administrative center in the Birbhum district of West Bengal, India, known for its rural cultural heritage and local markets.
-
C.
Bangar
Bangar is a coastal municipality in the province of La Union in the Philippines, known for its handwoven textiles and agricultural products.
-
D.
Damrak
Damrak is a central street and canal in Amsterdam that runs from Amsterdam Centraal Station toward Dam Square, forming one of the city’s main tourist and commercial arteries.
-
E.
Bandar-e Kangan
Bandar-e Kangan is a coastal city in southern Iran that serves as an important port and energy hub on the Persian Gulf.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e454631e148190a1d46a6ecb79c71a |
completed | April 19, 2026, 4:04 a.m. |
Created at: April 10, 2026, 5:49 a.m.